A model for the prospective analysis of perinatal deaths in a perinatal network.
This prospective study assesses factors that contribute to perinatal mortality. The study population includes the 1362 perinatal deaths that occurred among 85,402 live births between 1983 and 1987 at hospitals of the University of Chicago Perinatal Network. After peer review of demographic, clinical, and pathologic data, each perinatal death was classified in one of the following categories: (1) the result of congenital malformation incompatible with life, (2) unavoidable, (3) potentially avoidable by patient, by health provider, or by both, or (4) of undetermined responsibility. Of 1362 deaths, 12.3% involved congenital malformations incompatible with life, 56.9% were classified as unavoidable, 28.1% were judged potentially avoidable, and 2.7% due to undetermined causes. Of potentially avoidable deaths, 36% were due to patient factors (primarily noncompliance), 59% to health provider factors, and 15% to combined patient and provider factors. There was a significant reduction in the potentially avoidable cases during the study period. The maximum attainable reduction in perinatal mortality under optimal conditions is calculated. Intervention plans to achieve this goal are discussed.
Moawad
A H
AH
Department of Obstetrics and Gynecology, University of Chicago, IL 60637.
Lee
K S
KS
Fisher
D E
DE
Ferguson
R
R
Phillippe
M
M
D002641:Chicago; D000013:Congenital Abnormalities / Q000401:mortality; D006764:Hospitals, Community; D006771:Hospitals, Maternity; D006801:Humans; D007226:Infant Mortality; D007230:Infant, Low Birth Weight; D007231:Infant, Newborn; D008962:Models, Theoretical; D010349:Patient Compliance